In this project, we assess various ML/DL Approaches for Cardiac Arrhythmia classification on the MIT-BIH dataset. Our objective is to offer an effective and time-saving ECG analysis solution by combining signal processing techniques with efficient deep learning models.
MIT-BIH is a publicly available dataset. It can be found here link
This project was done as part of CSCI 5890 : Machine Learning for Healthcare curriculum. Find the complete project report here link